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Volume 18 Supplement 1

19th Annual SCMR Scientific Sessions

  • Workshop presentation
  • Open Access

Simultaneous VO2 and cardiac output measurement to estimate oxygen extraction (a-v)O2

  • 2,
  • 3, 1,
  • 3,
  • 3 and
  • 3, 4
Journal of Cardiovascular Magnetic Resonance201618 (Suppl 1) :W39

https://doi.org/10.1186/1532-429X-18-S1-W39

  • Published:

Keywords

  • Cardiovascular Magnetic Resonance
  • Flow Imaging
  • Oxygen Extraction
  • Metabolic Cart
  • Cardiovascular Magnetic Resonance Measure

Background

Chronic heart failure (CHF) is the leading hospital discharge diagnosis in patients over age 65 [1]. Emerging techniques in cardiovascular magnetic resonance (CMR) have resulted in unique opportunity for improvement of non-invasive assessment of the physiologic and anatomic effects of CHF. We have previously demonstrated the accuracy and feasibility of V ˙ O 2 max measurements in the MRI environment using a modified metabolic cart [2]. Additionally, V ˙ O 2 measures acquired within the MRI have been reported [3]. Existing methods describe non-invasive MRI measurement of whole body oxygen consumption via T2 imaging [4]. The Fick principle states V ˙ O 2 = CO × (A-V)O2; where V ˙ O 2 is oxygen consumption, CO is cardiac output, and (A-V)O2 is arterio-venous oxygen difference. Current modifications required for metabolic cart measures of oxygen consumption in the MRI environment present clinical challenges in widespread application. Using the Fick principle we sought to quantify and compare non-invasive MRI derived V ˙ O 2 (MRI- V ˙ O 2 ) quantification with metabolic cart measures of V ˙ O 2 .

Methods

Eight subjects underwent CMR exam with in-magnet V ˙ O 2 measures via ParvoMedics TrueOne metabolic cart. A 21 foot hose with non-rebreathing mask was passed through a waveguide for measurement of V ˙ O 2 (L/min); single breath analysis with 22 second delay was used to evaluate V ˙ 2 O during CMR measures. CO (L/min) was quantified using real time aortic flow imaging allowing beat-by-beat stroke volume quantification. Heart rate was averaged over the duration of flow imaging sequence to reduce noise. Oxygen saturation was used to calculate (A-V)O2 (ml O2/100ml blood) from quantitative T2 mapping of the left and right ventricle blood pools. The Fick principle was used to quantify V ˙ O 2 derived from MRI measures of CO and (A-V)O2 for comparison with measured VO2. Lin's Concordance Correlation Coefficient (ρc) and the 95 percent lower confidence level (95% LCL) were used to evaluate agreement between two techniques MRI- V ˙ O 2 and metabolic cart V ˙ O 2 measures.

Results

Mean V ˙ O 2 measures from the metabolic cart and MRI-VO2 shown in Figure 1. MRI- V ˙ O 2 vs V ˙ O 2 Concordance Correlation Coefficient Plot were within reasonable limits for supine resting measures (0.15-0.46 L/min). Figure 1 depicts measured V ˙ O 2 versus MRI- V ˙ O 2 for each of eight subjects. ρc was 0.9669, while the 95% LCL was 0.8815.

Figure 1

Conclusions

Non-invasive MRI derived V ˙ O 2 with flow imaging quantification of CO and quantitative T2 mapping was shown to be feasible and interchangeable (95% LCL >0.75) with measured V ˙ O 2 [5]. Further investigation is needed to validate these results against independent, catheter-based measurement of venous O2 saturation. The combination of VO2 and CMR will potentially enhance non-invasive estimation of oxygen extraction, and when combined with exercise stress may be helpful in determining whether cardiac function or peripheral oxygen extraction, are the primary cause of heart failure related symptoms in individual patients.

Authors’ Affiliations

(1)
Biomedical Engineering, The Ohio State University, Columbus, OH, USA
(2)
Human Sciences, The Ohio State University, Columbus, OH, USA
(3)
Davis Heart & Lung Institute, The Ohio State University, Columbus, OH, USA
(4)
Internal Medicine, The Ohio State University, Columbus, OH, USA

Copyright

© LaFountain et al. 2016

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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